The Trajectory Planning And Off-line Programming Of Hub Polishing Based On The Optimization Of Process Parameters

The traditional wheel hub polishing and grinding is usually manual,which has the problems of low work efficiency and poor processing environment.It is unable to maximize the production and manufacturing benefits.It is imperative to use industrial robot to replace manual polishing.In the polishing process of wheel hub,there are many factors affecting the polishing quality,which need to be controlled in the processing process to ensure the processing quality.With the increasing complexity of industrial robot programming and the improvement of real-time requirements for programming,the traditional teaching programming method is not only inefficient but also poor in quality.In view of the above problems,this project further explores the optimization of wheel hub polishing process parameters and the off-line programming technology of industrial robot.This paper analyzes the process parameters that affect the polishing quality,establishes the optimization model of process parameters based on the surface roughness,selects different processing parameters such as feed speed,spindle speed,polishing pressure,tool angle,etc.through orthogonal experiments,determines the optimal process parameters in the processing process,and establishes the multi process optimization method based on the initial surface roughness and polishing efficiency According to the roughness information of the machined surface and the polishing efficiency of different sandpaper,the appropriate processing parameters and polishing process are selected.Then,the surface to be machined is divided into a series of surface patches with similar surface information and process characteristics,and the similar surface patches are polished by the same process and process parameters.The results show that the polishing quality and efficiency can be significantly improved by optimizing the process parameters and lapping.The trajectory planning of ABB industrial robot in Cartesian space is studied,and a time and impact optimal trajectory optimization algorithm based on NURBS curve fitting is proposed.The given trajectory points are fitted by NURBS curve in workspace,and then the multi-objective optimization of time and impact is carried out by genetic algorithm,which improves the processing efficiency.Finally,the off-line programming system of the robot is studied and designed,which is based on vs2017 and the secondary development characteristics of UG/open API,the interface design of offline programming system is completed,and the functional modules of model management,surface slicing,motion simulation,trajectory extraction and planning,and program post-processing are developed,which are integrated into the menu of UG software in the form of dynamic link library.The system test results show that the offline programming system developed in this paper works stably,the connection between the modules is good,and the related performance meets the requirements.